Diversity in orthopaedic trauma: where we are and where we need to be
Bibliographic record
Abstract
Diversity has multiple dimensions, and individuals' interpretation of diversity varies broadly. The Orthopaedic Trauma Association (OTA) leadership recognized the need to address issues of diversity within the organization and appointed the OTA Diversity Committee in 2020. The OTA Diversity Committee has produced a statement that was confirmed by the OTA's board of directors reflecting the organization's position on diversity: "The OTA promotes and values diversity and inclusion at all levels with the goal of creating an environment where every member has the opportunity to excel in leadership, education, and culturally-competent orthopaedic trauma care." The OTA Diversity Committee surveyed its 1907 OTA members in the United States and Canada to assess its membership's attitudes toward and interpretation of this important topic. METHODS: Two surveys were distributed. One 15-question survey was sent to 1907 OTA members with different membership categories in the United States and Canada requesting basic demographic information and asking how members felt about the degree to which women and underrepresented minorities (URM) are represented within the OTA and within its leadership. A second 11-question survey was sent to 30 past chairs of 2017-2019 OTA educational courses and meetings evaluating their criteria for choosing faculty for OTA courses. Comments were reviewed and summarized to identify recurring themes. RESULTS: Two hundred seven responses from the membership and 14 from course chairs were received from the 1907 surveys that were emailed to OTA members in the United States and Canada. The results reveal awareness of the limited female and URM representation within the OTA. However, there is disagreement in how or even whether this should be addressed at an organizational level. Review of comments from both surveys reveals a number of common themes on these important topics. CONCLUSION: The members and course chairs surveyed recognize that there is limited diversity at the OTA leadership and faculty level. Many members feel that the OTA would benefit from increasing female and URM representation in committees, within the leadership, and as faculty at OTA-sponsored courses. However, survey comments reveal that many members and course chairs feel it is not the organization's role to regulate diversity and that diversity initiatives themselves may introduce an unnecessary form of bias.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.004 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".